LabCompass

Haixu Tang

Biochemistry, Genetics and Molecular Biology · Indiana University

OpenAlex ORCID
Genomics and Phylogenetic StudiesAdvanced Proteomics Techniques and ApplicationsGlycosylation and Glycoproteins ResearchMass Spectrometry Techniques and ApplicationsRNA and protein synthesis mechanisms

Publications

288

Citations

15,258

Est. group size

~1

Recurring co-author estimate

Active years

31

Publishing since 1996

Research summary
AI-generated

Haixu Tang works at the intersection of computational biology and computer science, developing methods to analyze biological data such as genomes and proteins using techniques from mass spectrometry and machine learning. Recent work has expanded into artificial intelligence, including studies of large language models, privacy and security risks in AI systems, and applying machine learning to chemistry and genomics problems.

Computational proteomics and mass spectrometryGenomics and DNA sequence modelingMachine learning for chemistry and moleculesAI privacy and security (large language models)Deep learning foundation models for biology

Publication output has been fairly steady over the last decade, generally in the range of about 10-17 papers per year with a recent average near 11.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 11.0/year recently
2017: 14 publications172018: 17 publications17182019: 15 publications192020: 15 publications202021: 12 publications212022: 7 publications222023: 14 publications232024: 14 publications242025: 11 publications252026: 9 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×23
  • bioRxiv (Cold Spring Harbor Laboratory)×15
  • Bioinformatics×9
  • Analytical Chemistry×6
  • Nature Communications×5

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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